A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games

A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games

4 October 2022

Wei Xiong

Chengshuai Shi

Tong Zhang

Papers citing "A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games"

13 / 13 papers shown

Title
Cat-and-Mouse Satellite Dynamics: Divergent Adversarial Reinforcement Learning for Contested Multi-Agent Space Operations Cameron Mehlman Joseph Abramov Gregory Falco AAML 28 0 0 26 Sep 2024
Provably Efficient Information-Directed Sampling Algorithms for Multi-Agent Reinforcement Learning Qiaosheng Zhang Chenjia Bai Shuyue Hu Zhen Wang Xuelong Li 37 1 0 30 Apr 2024
Feel-Good Thompson Sampling for Contextual Dueling Bandits Xuheng Li Heyang Zhao Quanquan Gu 40 9 0 09 Apr 2024
Refined Sample Complexity for Markov Games with Independent Linear Function Approximation Yan Dai Qiwen Cui S. S. Du 39 1 0 11 Feb 2024
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond Thanh Nguyen-Tang Raman Arora OffRL 30 3 0 06 Jan 2024
Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-Constraint Wei Xiong Hanze Dong Chen Ye Ziqi Wang Han Zhong Heng Ji Nan Jiang Tong Zhang OffRL 38 157 0 18 Dec 2023
Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games Songtao Feng Ming Yin Yu-Xiang Wang J. Yang Yitao Liang 34 0 0 17 Aug 2023
Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration Zhihan Liu Miao Lu Wei Xiong Han Zhong Haotian Hu Shenao Zhang Sirui Zheng Zhuoran Yang Zhaoran Wang OffRL 32 22 0 29 May 2023
On the Statistical Efficiency of Mean Field Reinforcement Learning with General Function Approximation Jiawei Huang Batuhan Yardim Niao He 34 10 0 18 May 2023
Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback Yang Cai Haipeng Luo Chen-Yu Wei Weiqiang Zheng 21 17 0 05 Mar 2023
Breaking the Curse of Multiagency: Provably Efficient Decentralized Multi-Agent RL with Function Approximation Yuanhao Wang Qinghua Liu Yunru Bai Chi Jin 19 28 0 13 Feb 2023
A Reduction-based Framework for Sequential Decision Making with Delayed Feedback Yunchang Yang Hangshi Zhong Tianhao Wu B. Liu Liwei Wang S. Du OffRL 27 8 0 03 Feb 2023
Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration Priyank Agrawal Jinglin Chen Nan Jiang 27 18 0 23 Oct 2020